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Group Processes: Data-Driven Computational Approaches
Paperback
Series: Computational Social Sciences
Business GeneralGeneral ComputersGeneral Sociology
ISBN13: 9783319840536
Publisher: Springer
Published: Aug 7 2018
Pages: 206
Weight: 0.67
Height: 0.45 Width: 6.14 Depth: 9.21
Language: English
A number of data-driven methods adapted to group process research are demonstrated in this current volume. These include text mining, relational event modeling, social simulation, machine learning, social sequence analysis, and response surface analysis. In order to take advantage of these new opportunities, this book provides clear examples (e.g., providing code) of group processes in various contexts, setting guidelines and best practices for future work to build upon.
This volume will be of great benefit to those willing to learn computational methods. These include academics like graduate students and faculty, multidisciplinary professionals and researchers working on organization and management science, and consultants for various types of organizations and groups.
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